Summary
This website contacted 10 IPs in 1 country across 11 domains to perform 58 HTTP transactions. The main domain is app.coursiv.io and was registered NaN years ago.
Submitted URL: https://app.coursiv.io
Effective URL: https://app.coursiv.io/auth/signinRedirected
The Cisco Umbrella rank of the primary domain is #166,220 of the top 1 million websites
AI Security Verdict
Moderate Risk
Confidence: 90%
Login page on a low‑rank but established domain; moderate risk.
Risk Factors
Safety Factors
Details
Page Title
Coursiv
Scan Type
public
Language
English
Category
technology software
(25%)Domain Information
Within the British Indian Ocean Territory country-code top-level domain (.io), 'app.coursiv.io' is registered, featuring subdomain 'app'. The second-level label 'coursiv' is 7 characters long holding three vowels versus four consonants. Word splitting yields two words: cours, iv. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 10 | 142.250.186.163 | United States | AS15169GOOGLE |
| 3 | 44.227.25.104 | United States | |
| 3 | 108.138.7.71 | United States | |
| 3 | 34.128.128.0 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 18.66.122.97 | United States | Unknown |
| 3 | 172.217.20.138 | United States | AS15169GOOGLE |
| 3 | 54.164.117.56 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 13.32.121.46 | United States | Unknown |
| 3 | 76.76.21.164 | Walnut, California, United States | AS16509AMAZON-02 |
| 3 | 66.33.60.34 | United States | AS16509AMAZON-02 |
| 37 | 10 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
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